Tag: Artificial

  • Got $3,000? 2 Artificial Intelligence (AI) Stocks to Buy and Hold for the Long Term

    Got $3,000? 2 Artificial Intelligence (AI) Stocks to Buy and Hold for the Long Term


    Artificial intelligence (AI) has come a long way in recent years. Businesses are starting to see tangible savings from implementing this technology in their operations, which is triggering massive investment. Statista projects the AI market to grow at an annualized rate of 28% through 2030 to reach $826 billion.

    If you have some extra cash you don’t need for paying down debt or other expenses, now could be a great time to start putting together a portfolio of growth stocks benefiting from AI that could take off over the next several years. Here are two companies trading at reasonable valuations that can help you profit from this once-in-a-generation investment opportunity.

    1. Advanced Micro Devices

    Before consumers and businesses can use AI-powered products, the required computing infrastructure has to be in place to train AI models. This is a tremendous opportunity for Advanced Micro Devices (AMD -1.35%), one of the leading suppliers of graphics processing units (GPUs) and other chip products.

    AMD supplies various chips for several markets, including consumer PCs and data centers. But strong demand for the Instinct MI300 GPUs fueled a 122% year-over-year increase in data center revenue last quarter, making this segment the largest revenue driver for the company heading into 2025.

    Meanwhile, AMD is still experiencing incredible demand for its central processing units (CPUs). Large companies continue to use AMD’s Epyc CPUs, including Meta Platforms, which has deployed more than 1.5 million Epyc chips in data centers to help power its social media platforms.

    AMD’s spending on research and development has accelerated in the last five years. The company hired thousands of engineers to work on AI, which culminated in the launch of the MI300, but there is more to come. Management sees the market for AI accelerators, or data center GPUs, reaching $500 billion by 2028.

    With strong demand for AMD’s data center chips helping drive a 31% year-over-year increase in earnings last quarter, you might expect the stock to trade at a high valuation. But it’s surprising to see the stock trading at just 24 times 2025 earnings estimates. This is in line with the broader market average valuation and suggests AMD shares might be undervalued.

    AMD stock is due for a rebound in the new year and could go on to deliver wealth-building returns.

    2. Alphabet (Google)

    Alphabet (GOOG -1.17%) (GOOGL -1.01%) shares have delivered market-beating returns  over the last decade. But the search leader continues to report strong growth in revenue and earnings that sent the stock up 36% over the past year. Its investments in AI could fuel more returns for investors in 2025 and beyond.

    It was a busy year for Google. The company announced new versions of its Gemini AI model, which is powering all of its products. Google also impressed investors recently when it unveiled its Willow chip for quantum computing, showing how the company could be a technological leader in this exploding market.

    While Google generates most of its revenue from advertising, it relies on AI to deliver relevant search results and content recommendations to keep billions of people coming back to its products, and therefore, grow advertising revenue. Alphabet spent $49 billion in capital expenditures over the last four quarters, which partly goes to data centers and AI to fuel more growth.

    Alphabet is benefiting from a growing digital advertising market, and this bodes well for profitable growth that can be reinvested in technology. A 15% year-over-year increase in revenue last quarter helped bring Alphabet’s trailing-12-month net income to an impressive $94 billion.

    With Alphabet proving it can post strong financial results while investing in cutting-edge technologies like quantum computing, the stock could be worth much more than its current valuation. The shares can be bought for just 21 times next year’s consensus earnings estimate, setting up Google investors for years of solid returns.

    Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool’s board of directors. Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool’s board of directors. John Ballard has positions in Advanced Micro Devices. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, and Meta Platforms. The Motley Fool has a disclosure policy.



    If you’re looking to invest in the rapidly growing field of artificial intelligence (AI), now is the time to jump in. With a budget of $3,000, you can start building a strong portfolio with two key AI stocks that have the potential for long-term growth.

    1. NVIDIA Corporation (NVDA): Known for its cutting-edge graphics processing units (GPUs), NVIDIA has also made a name for itself in the AI space. The company’s GPUs are widely used in AI applications, from autonomous vehicles to data centers. With a market cap of over $300 billion, NVIDIA is a leader in the AI hardware market and is well-positioned for future growth.

    2. Alphabet Inc. (GOOGL): As the parent company of Google, Alphabet is at the forefront of AI innovation. Google’s AI capabilities are integrated into a wide range of products and services, from search algorithms to voice recognition technology. With a market cap of over $1 trillion, Alphabet has the resources and expertise to remain a key player in the AI industry for years to come.

    By investing in these two AI stocks, you can gain exposure to the growing AI market and potentially see significant returns over the long term. Remember to do your own research and consult with a financial advisor before making any investment decisions.

    Tags:

    1. Artificial Intelligence stocks
    2. Long term investing
    3. AI investments
    4. Top AI stocks
    5. Tech stocks
    6. Best stocks to buy
    7. AI technology
    8. Future of investing
    9. Stock market trends
    10. AI companies

    #Artificial #Intelligence #Stocks #Buy #Hold #Long #Term

  • The Future of Artificial Intelligence: Leveraging LSTMs for Improved Predictive Modeling

    The Future of Artificial Intelligence: Leveraging LSTMs for Improved Predictive Modeling


    Artificial Intelligence (AI) has rapidly advanced in recent years, with the development of sophisticated algorithms and models that can analyze data, make predictions, and even learn from past experiences. One such advancement in AI is the use of Long Short-Term Memory (LSTM) networks for improved predictive modeling.

    LSTMs are a type of recurrent neural network (RNN) that is designed to handle sequence data, making them ideal for tasks such as time series forecasting, natural language processing, and speech recognition. Unlike traditional neural networks, which struggle with long-term dependencies in data, LSTMs have the ability to remember information over long periods of time, making them well-suited for tasks that require understanding context and relationships between data points.

    One of the key advantages of using LSTMs for predictive modeling is their ability to capture temporal dependencies in data. This means that LSTMs can effectively analyze time series data, such as stock prices, weather patterns, or user behavior, and make accurate predictions based on past trends and patterns. By leveraging the sequential nature of data, LSTMs can learn from historical data and make informed predictions about future events.

    In addition to their ability to handle time series data, LSTMs also excel at processing text data, making them valuable for tasks such as sentiment analysis, text generation, and machine translation. By capturing the semantic meaning and context of words in a sentence, LSTMs can generate more accurate predictions and insights from text data, leading to improved performance in natural language processing tasks.

    Overall, the future of artificial intelligence lies in leveraging advanced algorithms like LSTMs for improved predictive modeling. By harnessing the power of deep learning and neural networks, researchers and practitioners can build more accurate and efficient predictive models that can drive business insights, optimize processes, and enhance decision-making. As AI continues to evolve and improve, the possibilities for leveraging LSTMs for predictive modeling are endless, offering new opportunities for innovation and growth in various industries.


    #Future #Artificial #Intelligence #Leveraging #LSTMs #Improved #Predictive #Modeling,lstm

  • Jensen Huang and the Rise of Nvidia: From Graphics to the AI Revolution: How One Visionary Leader Transformed the Future of Computing and Shaped the Artificial Intelligence Era

    Jensen Huang and the Rise of Nvidia: From Graphics to the AI Revolution: How One Visionary Leader Transformed the Future of Computing and Shaped the Artificial Intelligence Era


    Price: $13.99
    (as of Jan 01,2025 22:14:34 UTC – Details)




    ASIN ‏ : ‎ B0DPRMXX7K
    Publisher ‏ : ‎ Independently published (December 6, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 118 pages
    ISBN-13 ‏ : ‎ 979-8302711687
    Item Weight ‏ : ‎ 7.4 ounces
    Dimensions ‏ : ‎ 5.5 x 0.27 x 8.5 inches


    Jensen Huang and the Rise of Nvidia: From Graphics to the AI Revolution

    In the world of technology, there are few figures as influential and visionary as Jensen Huang, the co-founder and CEO of Nvidia. Over the past few decades, Huang has transformed Nvidia from a niche graphics card manufacturer into a powerhouse in the world of artificial intelligence and computing.

    Huang, who was born in Taiwan and raised in the United States, co-founded Nvidia in 1993 with Chris Malachowsky and Curtis Priem. The company initially focused on producing graphics processing units (GPUs) for gaming and professional use, quickly becoming a leader in the industry.

    However, it was under Huang’s leadership that Nvidia truly began to shine. In the early 2000s, Huang saw the potential for GPUs to be used for more than just graphics processing. He recognized that the parallel processing power of GPUs could be harnessed for a wide range of computational tasks, including artificial intelligence and deep learning.

    Under Huang’s guidance, Nvidia began to pivot towards AI and machine learning, developing specialized GPUs and software to support these emerging technologies. Today, Nvidia’s GPUs are used by some of the world’s largest tech companies for a wide range of applications, from autonomous vehicles to medical research.

    Huang’s leadership and vision have not only transformed Nvidia into a major player in the tech industry but have also helped shape the future of computing. His relentless focus on innovation and pushing the boundaries of what is possible has made Nvidia a driving force in the AI revolution.

    As we look towards the future, it is clear that Jensen Huang and Nvidia will continue to play a vital role in shaping the artificial intelligence era. With Huang at the helm, Nvidia is well-positioned to continue pushing the boundaries of what is possible in computing and AI, driving innovation and transforming industries across the globe.
    #Jensen #Huang #Rise #Nvidia #Graphics #Revolution #Visionary #Leader #Transformed #Future #Computing #Shaped #Artificial #Intelligence #Era,nvidia bets future growth

  • Prediction Machines: The Simple Economics of Artificial Intelligence

    Prediction Machines: The Simple Economics of Artificial Intelligence


    Price: $0.99
    (as of Dec 31,2024 13:30:34 UTC – Details)


    Customers say

    Customers find the book easy to read and understand. It provides a clear framework for prediction and useful tools for incorporating machine learning into existing businesses. The insights provided in the book are interesting and thorough, making it an amazing resource for those looking to learn about the AI buzz. Readers appreciate the economic perspective and value of the book.

    AI-generated from the text of customer reviews


    Prediction Machines: The Simple Economics of Artificial Intelligence

    In our rapidly evolving technological landscape, artificial intelligence (AI) has become increasingly prevalent in various industries. From self-driving cars to virtual assistants, AI has the potential to revolutionize the way we live and work. But what are the economic implications of this technological advancement?

    In their book “Prediction Machines: The Simple Economics of Artificial Intelligence,” authors Ajay Agrawal, Joshua Gans, and Avi Goldfarb explore the economic impact of AI and how it has the potential to reshape our economy. They argue that AI is essentially a prediction technology, as it allows us to make more accurate forecasts and decisions based on data.

    The authors explain that AI has the potential to drastically reduce the cost of prediction, which in turn can lead to increased efficiency and productivity in various industries. They also discuss the implications of AI on jobs, arguing that while some jobs may be displaced by automation, new opportunities will be created as well.

    Overall, “Prediction Machines” offers a thought-provoking analysis of the economic implications of AI and how businesses and policymakers can navigate this new technological landscape. It is a must-read for anyone interested in understanding the intersection of AI and economics.
    #Prediction #Machines #Simple #Economics #Artificial #Intelligence,principles of machine learning: the three perspectives

  • Trending News Today Live Updates on December 31, 2024 : ‘Goosebumps’: Mahabharata trailer, created by artificial intelligence, mesmerises social media | Watch

    Trending News Today Live Updates on December 31, 2024 : ‘Goosebumps’: Mahabharata trailer, created by artificial intelligence, mesmerises social media | Watch




    The highly anticipated trailer for the upcoming Mahabharata movie, created entirely by artificial intelligence, has taken social media by storm. The trailer, which was released earlier today, has left viewers in awe with its stunning visuals and gripping storyline.

    Fans of the epic Indian tale have been eagerly awaiting this adaptation, and the AI-generated trailer has not disappointed. From the grand battle scenes to the intricate character development, the trailer has captured the essence of the Mahabharata in a way that has never been seen before.

    Social media platforms are buzzing with excitement as fans share their reactions to the trailer, with many expressing their amazement at the level of detail and emotion portrayed by the AI-generated characters. Some have even described it as giving them “goosebumps” and have declared it a must-watch for all fans of the Mahabharata.

    As the countdown to the movie’s release continues, anticipation is building for what promises to be a groundbreaking cinematic experience. Stay tuned for more updates on this trending news story. Watch the mesmerizing trailer for yourself and join the conversation about this groundbreaking film.

    Tags:

    Trending News, Live Updates, December 31 2024, Mahabharata trailer, artificial intelligence, social media, Goosebumps, viral video, entertainment news, AI technology, trending on social media

    #Trending #News #Today #Live #Updates #December #Goosebumps #Mahabharata #trailer #created #artificial #intelligence #mesmerises #social #media #Watch

  • Towards an International Political Economy of Artificial Intelligence by Tugrul

    Towards an International Political Economy of Artificial Intelligence by Tugrul



    Towards an International Political Economy of Artificial Intelligence by Tugrul

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    In recent years, the rapid development of artificial intelligence (AI) technology has raised important questions about its economic impact on the global stage. As AI becomes more prevalent in various industries, it is crucial to understand how this technology will shape the international political economy.

    One key aspect to consider is the potential for AI to disrupt traditional economic systems and create new opportunities for growth. For example, AI has the potential to increase productivity and efficiency in industries such as healthcare, transportation, and manufacturing. This could lead to significant economic gains for countries that are able to harness the power of AI effectively.

    However, there are also concerns about the potential negative effects of AI on the global economy. For example, there is a risk that AI could displace human workers in certain industries, leading to job losses and income inequality. Additionally, there are concerns about the concentration of power and wealth in the hands of a few tech giants that dominate the AI industry.

    To address these challenges, it is crucial to develop an international political economy of AI that promotes cooperation and collaboration among countries. This includes developing standards and regulations for the ethical use of AI, as well as fostering partnerships between governments, businesses, and civil society organizations to ensure that the benefits of AI are shared equitably.

    In conclusion, the development of AI has the potential to transform the global economy in profound ways. By working together to address the economic and political challenges posed by AI, we can ensure that this technology benefits all of humanity, rather than just a select few.
    #International #Political #Economy #Artificial #Intelligence #Tugrul, artificial intelligence

  • Strategy, Evolution, and War: From Apes to Artificial Intelligence by Kenneth Pa

    Strategy, Evolution, and War: From Apes to Artificial Intelligence by Kenneth Pa



    Strategy, Evolution, and War: From Apes to Artificial Intelligence by Kenneth Pa

    Price : 45.92

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    In this post, we will explore the fascinating connection between strategy, evolution, and war, tracing the origins of conflict from our primate ancestors to the rise of artificial intelligence. Kenneth Pa, a renowned expert in the field, will guide us through the key milestones in the development of warfare tactics and the role of technology in shaping the future of conflict.

    From the early days of ape societies, where dominance hierarchies and territorial disputes laid the foundation for strategic thinking, to the emergence of sophisticated military strategies in ancient civilizations, the evolution of warfare has been a constant force driving human history. Pa will delve into the evolutionary roots of aggression and cooperation, shedding light on how these primal instincts continue to influence modern warfare.

    Furthermore, with the advent of artificial intelligence and advanced technologies, the nature of warfare is undergoing a profound transformation. Pa will discuss the implications of AI-driven warfare, from autonomous weapons systems to cyber warfare, and how these developments are reshaping the battlefield and challenging traditional notions of strategy.

    Join us as we embark on a journey through the ages, exploring the interconnectedness of strategy, evolution, and war, and gaining insights into the future of conflict in an increasingly technologically-driven world.
    #Strategy #Evolution #War #Apes #Artificial #Intelligence #Kenneth, artificial intelligence

  • 3 No-Brainer Artificial Intelligence (AI) Stocks to Buy for 2025 With $200 Right Now

    3 No-Brainer Artificial Intelligence (AI) Stocks to Buy for 2025 With $200 Right Now


    Artificial intelligence pushed many stock prices higher, but these three remain great values.

    The last two years have been dominated by artificial intelligence (AI) stocks. The influx of spending on AI infrastructure and development, combined with investors’ excitement around the potential for it to change multiple industries, pushed the prices of several companies’ stocks into astronomical territories. It may be hard to find a great company with a stock trading at a fair price for less than $200.

    But there could be a lot of growth left when it comes to investing in AI. The market for AI hardware and software is expected to grow between 40% and 55% per year through 2027, according to analysts at Bain.

    While many stocks already have those high expectations baked into the price, these three software and hardware makers all offer the chance to buy into their companies at good value. And the best part is that each stock trades for about $200, making them accessible to just about anyone interested in getting started with AI stocks.

    A circuit board with the outline of a brain overlaid and the letters AI printed inside it.

    Image source: Getty Images.

    1. Alphabet

    Alphabet (GOOG -1.27%) (GOOGL -1.28%) is the company behind Google. While many expected advances in AI from competitors to cut into Google’s business, Alphabet’s management successfully incorporated AI into its core products.

    The biggest change to search over the past year is the new AI overview. If you’ve typed a question into the Google search box in the last several months, you’ve probably seen AI-generated answers with links to its sources.

    Management says the new feature is increasing engagement and satisfaction among users, as they find Google can answer more of their questions. Meanwhile, its advancements in AI over the last 18 months enabled it to reduce the cost of using generative AI to answer those queries by 90%, enabling it to roll out the feature around the world.

    The company also uses its AI capabilities to offer new ways to search the web. One product, Circle to Search, allows users to circle words or images on a webpage while browsing on their Android smartphone and start a search. Google Lens makes searching the web as simple as taking a picture. Both increased valuable search types like product discovery and shopping.

    Meanwhile, Google Cloud, Alphabet’s cloud computing division, saw its revenue grow substantially as developers tap its compute for generative AI applications. Not only has revenue grown over the last two years, but it’s also now producing meaningful operating profits for Alphabet. Google Cloud generated $1.9 billion in operating income last quarter, up from $270 million a year ago and a loss of $700 million in the third quarter of 2022.

    Alphabet continues to innovate in AI. It launched the newest version of its large language model (Gemini 2.0) in December, along with AI agents built on the model to help with browser navigation and debugging computer code. Alphabet’s scale and distribution capabilities give it an advantage in developing and popularizing its AI-driven software.

    With shares trading at $194 as of this writing, the stock looks like a great value. Despite analysts’ expectations of double-digit earnings growth for years to come, it trades for just 22 times 2025 earnings expectations. That’s a bargain compared to other AI stocks.

    2. Qualcomm

    Qualcomm (QCOM -1.71%) is best known for its wireless patents, which cover 3G, 4G, and 5G connectivity. Every smartphone maker pays a license to Qualcomm to use its patents. That extremely high-margin revenue has helped fuel Qualcomm’s innovation in chipmaking, and it’s unlikely to change any time soon.

    Qualcomm makes chipsets for smartphones, ranging from simple baseband chips that allow phones to connect to a wireless network to the all-in-one Snapdragon line, which incorporates an application processor with a baseband or modem set. You can find a Snapdragon chip in most high-end Android phones.

    So far, Qualcomm’s chips haven’t had much to do with AI. That’s starting to change, though. In 2024, Qualcomm introduced a line of Snapdragon processors designed for Windows PCs with the aim of running on-device AI inferences. Keeping AI processes on-device ensures user data remains private and allows users to take advantage of AI capabilities without an internet connection.

    While the adoption of so-called “AI PCs” powered by Qualcomm’s chips has been slow, it seems more customers will likely demand on-device AI from their smartphones in the future. That requires higher-end processors, like Qualcomm’s Snapdragon. As a result, Qualcomm could end up taking more market share in smartphones over the next few years.

    Meanwhile, Qualcomm also has a burgeoning automotive chip segment. As automotive computers become increasingly complex and reliant on fast on-device AI processing, Qualcomm could prove a valuable supplier for automakers over the next few years. At its investor day in November, management said it had $45 billion in design wins in its automotive pipeline. For reference, the segment generated $2.9 billion in revenue during fiscal 2024.

    Qualcomm’s share price of less than $160 makes it a great way to play the future of on-device AI across smartphones and PCs, not to mention the massive potential in automotive. Analysts expect earnings growth of around 10% for each of the next two years, while shares trade for just 14 times forward earnings estimates. The potential for Qualcomm to expand its share across multiple devices makes it an appealing stock at this price.

    3. Taiwan Semiconductor Manufacturing

    Taiwan Semiconductor Manufacturing Company (TSM -1.38%), otherwise known as TSMC, is the largest chip manufacturer in the world. It contracts with the biggest chip designers, including Nvidia, Apple, and Broadcom to fabricate the most advanced AI chips on the market. It’s a dominant force, commanding over 60% of all spending for semiconductor foundries.

    TSMC commands such a strong market share due to its advanced technological capabilities. Nvidia CEO Jensen Huang praised TSMC in September, calling it the best in the industry “by an incredible margin.” Thanks to its massive market share, TSMC should be able to maintain that technology advantage. That gives it a lot more money than its competitors to invest in developing the next generation of technology, creating a virtuous cycle.

    TSMC has been a clear winner as demand for AI chips soars. Revenue increased 39% in the third quarter, and earnings soared 54% as its margins expanded due to demand. The demand was mostly fueled by AI-related chips, but strong smartphone orders also helped move the needle. Fourth-quarter revenue is on track for 31% growth, as well as strong margins.

    Investors should expect profit margins to contract as TSMC rolls out the next generation of its processes in late 2025. Still, they should expand over time as the company scales production, especially if demand for AI chips remains strong. With a growing need for high-end processing capabilities across devices, TSMC should be able to command an even greater share of semiconductor production over the next few years despite already holding a dominant position. As such, revenue should grow faster than the overall industry.

    At its current price of around $200, shares trade for about 23 times forward earnings. That said, strong margins and growing revenue put analysts’ consensus estimate for 2025 earnings growth at 27%. While TSMC might not maintain that growth rate, it won’t come down from there very quickly as it remains a key piece of the puzzle in the continued advancement of artificial intelligence. With such strong growth potential, TSMC is a no-brainer for $200.


    1. Alphabet Inc. (GOOGL)

      Alphabet Inc., the parent company of Google, is a major player in the artificial intelligence space. With its advanced AI technologies powering products like Google Assistant and Google Photos, Alphabet is well-positioned for continued growth in the AI sector. Investing in Alphabet stock is a no-brainer for anyone looking to capitalize on the future of AI.

    2. NVIDIA Corporation (NVDA)

      NVIDIA is another top AI stock to consider for 2025. The company is a leader in the development of graphics processing units (GPUs) that are essential for running AI algorithms. NVIDIA’s GPUs are used in a wide range of applications, from gaming to data centers, making it a versatile investment in the AI space. With a strong track record of innovation and growth, NVIDIA is a solid choice for investors looking to benefit from the AI revolution.

    3. Microsoft Corporation (MSFT)

      Microsoft is a tech giant that has been making significant strides in the AI field. The company’s Azure cloud platform offers a range of AI services, including machine learning and cognitive services, that are helping businesses leverage AI technologies. Microsoft’s commitment to AI research and development positions it well for future growth in the AI market. Investing in Microsoft stock is a smart move for those looking to tap into the potential of AI in the coming years.

      With $200 to invest, buying shares of these three AI stocks could provide a solid foundation for a profitable portfolio in 2025 and beyond. Keep an eye on the latest developments in the AI sector and consider adding these stocks to your investment strategy for long-term growth.

    Tags:

    1. Artificial Intelligence stocks
    2. Best AI stocks to buy
    3. Top AI companies to invest in
    4. Future of AI investments
    5. AI stocks for 2025
    6. Affordable AI stocks
    7. Smart investment in AI technology
    8. AI stocks under $200
    9. Predictions for AI stocks in 2025
    10. Easy AI stock picks

    #NoBrainer #Artificial #Intelligence #Stocks #Buy

  • Introduction to Artificial Intelligence by Mariusz Flasi?ski (English) Paperback

    Introduction to Artificial Intelligence by Mariusz Flasi?ski (English) Paperback



    Introduction to Artificial Intelligence by Mariusz Flasi?ski (English) Paperback

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    Title: Introduction to Artificial Intelligence by Mariusz Flasiński (English) Paperback

    Are you ready to dive into the fascinating world of Artificial Intelligence (AI)? Look no further than “Introduction to Artificial Intelligence” by Mariusz Flasiński. This comprehensive guide is perfect for beginners looking to understand the basics of AI and its applications in today’s world.

    In this book, Flasiński breaks down complex AI concepts into easy-to-understand language, making it accessible for readers with varying levels of expertise. From machine learning and neural networks to natural language processing and robotics, this book covers a wide range of topics essential for anyone interested in AI.

    Whether you’re a student, professional, or simply curious about the future of technology, “Introduction to Artificial Intelligence” will provide you with a solid foundation to build upon. So grab a copy of this paperback today and start your journey into the exciting world of AI!
    #Introduction #Artificial #Intelligence #Mariusz #Flasiski #English #Paperback, artificial intelligence

  • AI & I: An Intellectual History of Artificial Intelligence, , Charniak, Eugene,

    AI & I: An Intellectual History of Artificial Intelligence, , Charniak, Eugene,



    AI & I: An Intellectual History of Artificial Intelligence, , Charniak, Eugene,

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    Artificial intelligence (AI) has been a topic of fascination and debate for decades, with the field evolving and growing at a rapid pace. In his book, “AI & I: An Intellectual History of Artificial Intelligence,” Eugene Charniak delves into the origins of AI, its key milestones, and the challenges that researchers have faced along the way.

    Charniak traces the roots of AI back to the 1950s and 1960s, when pioneers like Alan Turing and John McCarthy laid the foundation for the field. He explores the early attempts to create intelligent machines, from expert systems to neural networks, and examines the breakthroughs that have propelled AI forward.

    One of the key themes of the book is the ongoing debate over what truly constitutes intelligence and whether machines can ever truly replicate human thought. Charniak delves into the philosophical implications of AI, discussing questions of consciousness, free will, and ethics.

    Overall, “AI & I: An Intellectual History of Artificial Intelligence” offers a comprehensive and engaging look at the past, present, and future of AI. Whether you’re a seasoned expert in the field or simply curious about the potential of intelligent machines, this book is sure to spark your interest and deepen your understanding of this fascinating and ever-evolving technology.
    #Intellectual #History #Artificial #Intelligence #Charniak #Eugene,ai & i: an intellectual history of artificial intelligence

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